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» Approximation algorithms for co-clustering
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ICML
2009
IEEE
16 years 7 months ago
Polyhedral outer approximations with application to natural language parsing
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
André F. T. Martins, Noah A. Smith, Eric P....
ICML
2005
IEEE
16 years 7 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
FORMATS
2007
Springer
16 years 27 days ago
Quantitative Model Checking Revisited: Neither Decidable Nor Approximable
Abstract. Quantitative model checking computes the probability values of a given property quantifying over all possible schedulers. It turns out that maximum and minimum probabilit...
Sergio Giro, Pedro R. D'Argenio
ICRA
2006
IEEE
95views Robotics» more  ICRA 2006»
16 years 23 days ago
Discrete Approximations to Continuous Curves
Abstract— We consider the problem of approximating a continuous curve by a piecewise linear one whose segments are assumed to be connected by universal joints. Rather than taking...
Sean B. Andersson
ASAP
2005
IEEE
118views Hardware» more  ASAP 2005»
16 years 11 days ago
Real-time H/W Implementation of the Approximate Discrete Radon Transform
The Radon transform (RT) is a widely studied algorithm used to perform image pattern extraction in fields such as computer graphics, medical imagery, and avionics. Real-time impl...
Michael T. Frederick, Nathan A. VanderHorn, Arun K...